AI Infrastructure Engineer

🔥 5 minutes ago

🇨🇦 Canada – Remote

💵 $72.1k - $138.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Design, deploy, and manage scalable AI/ML infrastructure on AWS using Trainium, Inferentia, SageMaker, and EKS • Support distributed model training, inference, and deployment for Large Language Models and Generative AI applications • Optimize AI workload performance, resource utilization, and cost efficiency across cloud environments • Implement containerized and cloud-native solutions using Kubernetes, Docker, and Infrastructure-as-Code practices • Collaborate with AI engineers and data scientists to enable reliable, high-performance model development and deployment pipelines • Monitor, troubleshoot, and improve platform reliability, scalability, and operational excellence • Evaluate and implement emerging AI infrastructure technologies for future business and technology initiatives

🎯 Requirements

• 5+ years in Cloud, Data, or AI Infrastructure • Experience supporting large-scale AI/ML training workloads in AWS environments • Exposure to Trainium or Inferentia is highly preferred • Experience with AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK for AI model training and inference • Strong understanding of LLMs, Generative AI, distributed training, and AI/ML infrastructure • Hands-on experience with Kubernetes (EKS), Docker, Python, PyTorch, and cloud-native architecture • Experience in AI performance optimization, benchmarking, and migration from GPU-based environments to AWS AI accelerators

🏖️ Benefits

• Paid time off based on employee grade: vacation 12–25 days, company-paid holidays, personal days, and sick leave • Medical, dental, and vision coverage, or provincial healthcare coordination in Canada • Retirement savings plans, including RRSP in Canada • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility • Variable incentives, bonuses, or commissions may be available depending on the position and applicable laws